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DTSTAMP:20230831T095746Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230627T100300
DTEND;TZID=Europe/Stockholm:20230627T100400
UID:submissions.pasc-conference.org_PASC23_sess110_pos111@linklings.com
SUMMARY:P33 - ICON-GPU for Numerical Weather Prediction – A Status Report
DESCRIPTION:Poster\n\nMarek Jacob (DWD); Dmitry Alexeev (NVIDIA Inc.); Dan
 iel Hupp and Xavier Lapillonne (MeteoSwiss); and Florian Prill, Daniel Rei
 nert, and Günther Zängl (DWD)\n\nWeather prediction centers are always see
 king ways to improve the computational performance of their numerical weat
 her prediction (NWP) models while staying within budget. The era of ever i
 mproving scalar CPU has come to an end but massively multiprocessing GPUs 
 are advertised as the next step forward. The ICON framework, a large and c
 ontinuously developed community code, has been adapted to work with GPU sy
 stems through a multi-institute effort using OpenACC directives. MeteoSwis
 s plans to use ICON-GPU operationally for limited area forecasts in 2023 a
 nd current development activities also make ICON-GPU ready to support the 
 enhanced feature set used operationally by the German Weather Service (DWD
 ). On our poster, we present the general porting strategy and the current 
 state of the port. We discuss specific optimizations and the lessons learn
 ed while iteratively porting an actively developed code. Finally, we prese
 nt the performance on current GPU and CPU machines and compare them to the
  currently operational setup on the DWD vector supercomputer.\n\nSession C
 hair: Jibonananda Sanyal (National Renewable Energy Laboratory)
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